%%
%% This is file `squelette-rr.tex',
%% generated with the docstrip utility.
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%% The original source files were:
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%% RR.dtx  (with options: `sample')
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%% Copyright (C) 1997-1999 2004 2006-2011 INRIA/APICS/MARELLE by Jose' Grimm
%% This file may be distributed and/or modified under the
%% conditions of the LaTeX Project Public License, either version 1.3
%% of this license or (at your option) any later version.
%% The latest version of this license is in
%%    http://www.latex-project.org/lppl.txt
%% and version 1.3 or later is part of all distributions of LaTeX
%% version 2003/12/01 or later.
%% An archive of the software can be found at
%%    ftp://ftp-sop.inria.fr/marelle/RR-INRIA
\documentclass[twoside]{article}
\usepackage[a4paper]{geometry}
\usepackage[latin1]{inputenc} % ou \usepackage[utf8]{inputenc}
\usepackage[T1]{fontenc} % ou \usepackage[OT1]{fontenc}
\usepackage{RR}
\usepackage{hyperref}
\usepackage{graphicx} 
%%\usepackage[]{algorithm2e}
\usepackage{algorithm}
\usepackage{algpseudocode}

%% date de publication du rapport
\RRdate{May 2014}
%%
%% Cas d’une version deux
%% \RRversion{2}
%% date de publication de la version 2
%% \RRdater{November 2008}
%%
\RRauthor{% les auteurs
% Premier auteur, avec une note
Anubis G. M. Rossetto\thanks{Federal Institute of Education, Science and Technology Sul-rio-grandense - Campus Passo Fundo, Passo Fundo, Brazil}%
\and Luciana Arantes\thanks{Laboratoire d'Informatique de Paris 6 (LIP6), Universit\'e Pierre et Marie Curie, CNRS, INRIA, Paris, France} 
\and Pierre Sens \thanks{Laboratoire d'Informatique de Paris 6 (LIP6), Universit\'e Pierre et Marie Curie, CNRS, INRIA, Paris, France}
\and Cl\'audio F. R. Geyer\thanks{Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil}
}
\authorhead{Rossetto \& Arantes \& Sens \& Geyer}
\RRtitle{The Impact Failure Detector}
\RRetitle{The Impact Failure Detector}
% %titre court, sur toutes les pages.
\titlehead{The Impact Failure Detector}
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\RRresume{This work proposes a new and flexible unreliable failure detector whose output is related to the trust level of a set of processes.}
\RRabstract{
This work proposes a new and flexible unreliable failure detector whose output is related to the trust level of a set of processes. By expressing the relevance of each process of the set by an impact factor value, our approach allows the tuning of the detector output, making possible a softer or stricter monitoring.  The idea behind our proposal is that, according to an acceptable margin of failures and the impact factor assigned to processes, in some scenarios, the failure of some low impact processes may not change the user confidence in the set of processes, while the crash of a high impact factor process may seriously affect it. We outline the application scenarios and the proposed unreliable failure detector, giving a detailed account of the concept on which it is based.
}
%%
\RRmotcle{failure detector, impact factor, trust level, fault margin, fault tolerance.}
\RRkeyword{failure detector, impact factor, trust level, fault margin, fault tolerance.}
%%
\RRprojets{Regal and GPPD}
\RCParis
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\begin{document}
%%
\makeRR % cas d’un rapport de recherche

\include{introduction}
\include{relatedwork}
\include{systemmodel}
\include{impactFD}
\include{faultmargin}
\include{classes}
\include{conclusion}

\section{Acknowledgment}
	This work was partially supported by grant 012909/2013-00 from the Brazilian Research Agency (CNPq).
\newpage
\tableofcontents
\newpage
\bibliographystyle{plain}
\bibliography{impact} 
\end{document}